BeSense: Leveraging WiFi Channel Data and Computational Intelligence for Behavior Analysis

TL;DR

BeSense is a novel system that uses WiFi channel state information and computational intelligence to unobtrusively analyze user behavior in real-world environments, avoiding traditional sensors or vision-based methods.

Contribution

The paper introduces BeSense, a contactless behavior analysis system leveraging WiFi CSI and computational intelligence, with a prototype tested on low-cost devices.

Findings

Effective recognition of user behaviors in real-world environments

Successful prototype implementation on commodity WiFi devices

Verification of system's accuracy through experimental results

Abstract

The ever evolving informatics technology has gradually bounded human and computer in a compact way. Understanding user behavior becomes a key enabler in many fields such as sedentary-related healthcare, human-computer interaction (HCI) and affective computing. Traditional sensor-based and vision-based user behavior analysis approaches are obtrusive in general, hindering their usage in realworld. Therefore, in this article, we first introduce WiFi signal as a new source instead of sensor and vision for unobtrusive user behaviors analysis. Then we design BeSense, a contactless behavior analysis system leveraging signal processing and computational intelligence over WiFi channel state information (CSI). We prototype BeSense on commodity low-cost WiFi devices and evaluate its performance in realworld environments. Experimental results have verified its effectiveness in recognizing user behaviors.